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LoopMe Debuts Media Outcome Prediction Tool

October 7 2024

In London, ad tech company LoopMe has announced the launch of Brand Outcome Scores (BOS), an AI-powered predictive media scoring tool.

Yuliia LoktionovaLoopMe's 'Intelligent Marketplace' makes use of AI and consumer insights to improve client's advertising performance and outcomes. The firm was founded in 2012 and is headquartered in the UK, with offices in seven US cities and in Toronto, Singapore, Sydney, Tokyo, Dnipro, Krakow and Hong Kong.

The new solution, which will initially be deployed in the US and UK markets, promises predictive scoring for ad buys at both the programmatic bid-request and impression level. The software uses contextual, geographic and temporal-based machine learning models and avoids the need for cookies or other user identifiers. The LoopMe platform's outcomes engine scores each advertising bid request for its likelihood to drive brand awareness, consideration and purchase intent, then uses this to submit optimised campaign requests to an advertiser's DSP. BOS can be used across mobile video, CTV and display ads.

The company has submitted two patents for the BOS solution, with Director of Data Science Yuliia Loktionova (pictured) as lead inventor. She comments: 'The Brand Outcome Scores solution has one core goal in mind: to ensure that brands only buy the ad requests that matter. This first-of-its-kind solution has the potential to truly revolutionise how marketers plan and execute their campaigns across mobile video, CTV and display ads. Our PurchaseLoop platform has already proven the effectiveness of our unique AI training data sets and we believe BOS will build upon that success'.

The launch follows June's announcement of an Audience and Measurement platform (AMP), bringing together the company's PurchaseLoop Audiences solution and its existing measurement solutions. LoopMe said in February this year that it would be recruiting fifty or more new staff, growing its workforce by some 20%.

Web site: www.loopme.com .

All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.

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